R E S E A R C H
Open Access
Existence of positive solutions for a system
of Caputo fractional difference equations
depending on parameters
Shugui Kang
*, Huiqin Chen and Jianmin Guo
*Correspondence: [email protected] School of Mathematics and Computer Sciences, Shanxi Datong University, Datong, Shanxi 037009, P.R. China
Abstract
We consider the existence of at least two positive solutions for a system of Caputo fractional difference equations
νj
Cyj(t) = –
λ
jfj(y1(t+ν
1– 1),. . .,yn(t+ν
n– 1)), subjectto boundary conditionsyj(
ν
j– 3) =yj(
ν
j+b) =2yj(
ν
j– 3) = 0, where 2 <ν
j≤3,j= 1,. . .,n. We use the Krasnosel’ski˘ı fixed point theorem to obtain the sufficient conditions of the existence of two positive solutions for this boundary value problem of Caputo fractional difference equations depending on parameters.
MSC: 26A33; 39A05; 39A12
Keywords: Caputo fractional difference; boundary value problem; fixed point theory; positive solution
1 Introduction
In this paper we consider a system of Caputo fractional difference boundary value problem (FBVP) of the form:
νCjyj(t) = –λjfj
y(t+ν– ), . . . ,yn(t+νn– )
, (.)
yj(νj– ) =yj(νj+b) =yj(νj– ) = , (.)
wheret∈[,b+]N:={, , . . . ,b+},b> ,λj> , <νj≤,fj: [, +∞)×· · ·×[, +∞)→ [, +∞) are continuous functions for eachj(j= , , . . . ,n).νCy(t) is the standard Caputo difference.
Fractional difference equations have been of great interest recently. It is caused by in-tensive development of the theory of discrete fractional calculus itself, see [–] and the references therein. Abdeljawad [] defined left and right Caputo fractional sums and dif-ferences, studied some of their properties. Holm [] introduced the fractional sum and difference operators. He developed and presented a complete and precise theory for com-posing fractional sums and differences. Atici and Sengül [] provided some analysis of discrete fractional variational problems, their paper also provided some initial attempts at using the discrete fractional calculus to model biological processes. Abdeljawad and Baleanu [] defined the right fractional sum and difference operators and obtained many of their properties. Then by using those properties they obtained a by-part formula anal-ogous to that in the usual fractional calculus. In [] the authors studied the stability of
discrete nonautonomous systems within the frame of the Caputo fractional difference by using the Lyapunov direct method. They discussed the conditions for uniform stability, uniform asymptotic stability, and uniform global stability. Mohammadi and Rezapour [] discussed the existence and uniqueness of solutions for some nonlinear fractional differen-tial equations via some boundary value problems by using fixed point results on ordered complete gauge spaces. Recently, Wu and Baleanu introduced some applications of the Caputo fractional difference to discrete chaotic maps in [, ].
In particular, the authors [–] developed some of the basic theory of fractional dif-ference both IVPs and BVPs with delta derivative on the time scale Z. In [], we ob-tained some results on the existence of one or more positive solutions for the Caputo fractional boundary value problems by means of cone theoretic fixed point theorems. Thus, the fractional difference equation has recently attracted increasing attention from a growing number of researchers. However, systems of discrete fractional boundary value problems are limited (see [–]). Among them, Atici and Eloe [] studied a linear system of fractional nabla difference equation with constant coefficients of the form
∇ν
y(t) =Ay(t) +f(t), t= , , . . . ,
where <ν< ,Ais ann×nmatrix with constant entries, andf aren-vector valued func-tions. The operator∇ν
is a Riemann-Liouville fractional difference. They constructed the
fundamental matrix for the homogeneous system and the causal Green’s function for the nonhomogeneous system.
In [], the authors investigated the existence of solutions for ak-dimensional system of fractional finite difference equations:
νy
(t) +f
y(t+ν– ),y(t+ν– ), . . . ,yk(t+νk– )
= ,
νy
(t) +f
y(t+ν– ),y(t+ν– ), . . . ,yk(t+νk– )
= ,
. . . ,
νky
k(t) +fk
y(t+ν– ),y(t+ν– ), . . . ,yk(t+νk– )
= ,
y(ν– ) =y(ν+b) = ,
y(ν– ) =y(ν+b) = ,
. . . ,
yk(νk– ) =yk(νk+b) = ,
whereb∈N, <νi≤,fi:Rk→Rare continuous functions fork= , , . . . . They
investi-gated the existence of solutions for thisk-dimensional system of fractional finite difference equations by using the Krasnosel’ski˘ı fixed point theorem.
In [], Goodrich studied the following pair of discrete fractional boundary value prob-lems:
–νy
(t) =λa(t+ν– )f
y(t+ν– ),y(t+νn– )
,
–νy
(t) =λa(t+ν– )f
y(t+ν– ),y(t+νn– )
y(ν– ) =ψ(y), y(ν– ) =ψ(y),
y(ν+b) =φ(y), y(ν+b) =φ(y),
wheret∈[,b]N:={, , . . . ,b},λ,λ> ,ν,ν∈(, ]. Goodrich obtained the existence of at least one positive solution to this problem by means of the Krasnosel’ski˘ı theorem for cons.
In [], the authors considered the existence of at least one positive solution to the dis-crete fractional system:
⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩
–νy
(t) =λf(t+ν– ,y(t+ν– ),y(t+ν– )), t∈[,b+ ],
–νy
(t) =λf(t+ν– ,y(t+ν– ),y(t+ν– )), t∈[,b+ ],
y(ν– ) =y(ν+b+ ) = ,
y(ν– ) =y(ν+b+ ) = ,
whereν,ν∈(, ].
Following this trend, in [], we discussed the boundary value problems of fractional difference system of the form
–νjy
j(t) =λjfj
y(t+ν– ), . . . ,yn(t+νn– )
,
yj(νj– ) =ψj(yj), yj(νj+b) =φj(yj),
wheret∈[,b]N:={, , . . . ,b},λj> , <νj≤,fj: [, +∞)× · · · ×[, +∞)→[, +∞) are continuous functions. For eachjwe have thatψj,φj:Rb+→R(j= , , . . . ,n) are given
functions. We obtained the sufficient conditions for the existence of two positive solutions to the boundary value problem of a fractional difference system. In this paper we open our studies in this field. We establish some conditions on parametersλiwhich are able to
guarantee that FBVP (.)-(.) has at least two positive solutions and one positive solution, respectively, based on the Krasnosel’ski˘ı theorem.
This paper is organized as follows. In Section , we provide basic definitions and demon-strate some lemmas in order to prove our main results. In Section , we establish some results for the existence of at least two positive solutions to FBVP (.)-(.), and we con-clude with an example explicating our main result.
2 Preliminaries
In this section, we present some basic definitions in the discrete fractional calculus and establish some lemmas.
Definition .[] We define
t(ν)= (t+ )
(t+ –ν)
for anytandνfor which the right-hand side is defined. We also appeal to the convention that ift+ –νis a pole of the gamma function andt+ is not a pole, thent(ν)= .
Definition .[] Theνth fractional sum of a functionf is defined by
–νf(t) =
(ν)
t–ν
s=a
forν> andt∈ {a+ν,a+ν+ , . . .}=Na+ν. We also define theνth Caputo fractional
difference forν> by
νCf(t) =–(n–ν)nf(t) =
(n–ν)
t–(n–ν)
s=a
(t–s– )n–ν–nf(s),
wheren– <ν≤n.
Lemma .[, ] Assume thatν> and f is defined on domainsNa,then
–a+(n–ν ν)Cνf(t) =f(t) –
n–
k=
ck(t–a)k,
where ci∈R,i= , , . . . ,n– ;n– <ν≤n.
Lemma .[] Let f :Na+ν×Na→Rbe given.Then
t–ν
s=a
f(t,s)
=
t–ν
s=a
tf(t,s) +f(t+ ,t+ –ν) for t∈Na+ν.
In order to get our main results, we now state an important lemma. This lemma gives a representation for the solution of (.)-(.), provided that the solution exists.
Lemma .[] Let <ν≤and g: [ν– ,ν– , . . . ,ν+b]Nν–→Rbe given.Then the solution of the FBVP
νCy(t) = –g(t+ν– ), (.)
y(ν– ) =y(ν+b) =y(ν– ) = (.)
is given by
y(t) =
b+
s=
G(t,s)g(s+ν– ),
where the Green’s function G: [ν– ,ν– , . . . ,ν+b]Nν–×[,b+ ]N→Ris defined by
G(t,s) =
(ν) ⎧ ⎪ ⎨ ⎪ ⎩
(ν– )(t–ν+ )(ν+b–s– )ν–
– (t–s– )ν–, ≤s<t–ν+ ≤b+ ,
(ν– )(t–ν+ )(ν+b–s– )ν–, ≤t–ν+ ≤s≤b+ .
Remark Notice thatG(ν– ,s) = ,G(t,b+ ) = .Gcould be extended to [ν– ,ν+ b]Nν–×[,b+ ]N, so we only discuss on (t,s)∈[ν– ,ν+b]Nν–×[,b+ ]N.
Lemma .[] The Green’s function G satisfies the following conditions:
(i) G(t,s) > ,(t,s)∈[ν– ,ν+b]Nν–×[,b+ ]N.
(ii) maxt∈[ν–,ν+b]Nν–G(t,s) =G(ν+b,s),s∈[,b+ ]N.
(iii) minν+b
≤t≤(ν+b)G(t,s)≥
maxt∈[ν–,ν+b]Nν–G(t,s) =
The proofs of Lemma . and Lemma . can be found in [], so we omit their proofs. Let
Bj:=
yj: [νj– ,νj+b]Nνj–→R,yj(νj– ) =yj(νj+b) =
y
j(νj– ) =
be equipped with the usual maximum norm · , it is easy to verify thatBjis the Banach
space. Then we putK:=B×B× · · · ×Bn. By equippingKwith the norm
(y, . . . ,yn)=y+· · ·+yn,
it follows that (K, · ) is a Banach space.
Now consider the operatorT:K→Kdefined by
T(y, . . . ,yn)(t, . . . ,tn) =
T(y, . . . ,yn)(t), . . . ,Tn(y, . . . ,yn)(tn)
, (.)
where we defineTj:K→Bjby
Tj(y, . . . ,yn)(tj) =λj b+
s=
Gj(tj,s)fj
y(s+ν– ), . . . ,yn(s+νn– )
. (.)
LetI:= [ν+b
,
(ν+b)
]× · · · ×[
νn+b
,
(νn+b)
]. In the sequel, we shall also make use of the
cone
:=
(y, . . . ,yn)∈K:y, . . . ,yn≥,
min
(t,...,tn)∈I
y(t) +· · ·+yn(tn)
≥
(y, . . . ,yn)
.
Lemma . Let T be the operator defined as in(.).Then T:→.
Proof We show first that for (y, . . . ,yn)∈K, by the definitionsTj(j= , , . . . ,n), it is clear
that
Tj(y, . . . ,yn)(tj)≥, j= , , . . . ,n.
On the other hand, we show that
min
(t,...,tn)∈I
T(y, . . . ,yn)(t) +· · ·+Tn(y, . . . ,yn)(tn)
≥
T(y, . . . ,yn)
for (y, . . . ,yn)∈K. In fact, by Lemma .(iii), we have
min
tj∈[ νj+b
, (νj+b)
]
Tj(y, . . . ,yn)(tj)
≥ min
tj∈[ b+νj
, (νj+b)
]
λj b+
s=
Gj(tj,s)fj
y(s+ν– ), . . . ,yn(s+νn– )
– (νj– )(νj+b–νj+ )(νj+b–s– )
νj–
+ (νj+b–s– )
νj–
×fj
y(s+ν– ), . . . ,yn(s+νn– )
= λj
(ν)
b+
s=
(νj– )(νj+b–s– )
νj–
–
(νj+b–s)(νj+b–s)
(b–s+ )(b–s+ ) –
(νj+b–s)
(b–s+ )
×fj
y(s+ν– ), . . . ,yn(s+νn– )
= λj
(ν)
b+
s=
(νj– )(νj+b–s– )
νj–
– (νj– )(νj+b–s) (b–s+ )(b–s+ )
×fj
y(s+ν– ), . . . ,yn(s+νn– )
= .
Finally, when ≤tj–νj+ ≤s≤b+ ,
Gj(tj,s) =
(νj)
(νj– )(tj–νj+ )(νj+b–s– )
νj– ,
then
t
jGj(tj,s) = .
Therefore, we can get
Tj(y, . . . ,yn)(νj– ) = .
So the boundary conditions are satisfied, which completes the proof.
Finally, to accomplish proof of our main results, we state cones theory. In particular, we require the following well-known fixed point theorem for cons in [].
Theorem .[] LetBa Banach space and letK⊆Bbe a cone.Assume that and
are bounded open sets contained inBsuch that∈ and ⊆ .Assume further that
T:K∩( \ )→Kis a completely continuous operator.If either
(i) Ty ≤ yfory∈K∩∂ andTy ≥ yfory∈K∩∂ ,or
(ii) Ty ≥ yfory∈K∩∂ andTy ≤ yfory∈K∩∂ ,
then the operator T has at least one fixed point inK∩( \ ). 3 Main results
In this section, we state and prove the existence of at least two positive solutions regard-ing FBVP (.)-(.). Then we conclude this section with examples to illustrate our main results. First, denote
αj= b+
s=
Gj(νj+b,s), βj=
[(νj+b)–νj+]
s=[νj+b–νj+] Gj
b–νj
+νj,s
ξ=
For convenience, we now present the conditions that we presume in the sequel.
=T(y, . . . ,yn)+· · ·+Tn(y, . . . ,yn)
FBVP(.)-(.)has at least two positive solutions,where
Proof Define the function
ϕj(r) =
r
nαjmax≤y+···+yn≤rfj(y, . . . ,yn)
, j= , . . . ,n.
It is easy to know thatϕj: (, +∞)→(, +∞) is a continuous function. From (H), we see
thatlimr→fr
j(r)= , that is,limr→
r
nαjfj(r)= , and
<ϕj(r) =
r
nαjmax≤y+···+yn≤rfj(y, . . . ,yn)
≤ r
nαjfj(r)
,
solimr→ϕj(r) = .
From (H), we see further that limr→∞ϕj(r) = . Then there exists r> such that
ϕj(r) =maxr>ϕj(r) =λ∗j,j= , . . . ,n. For anyλj∈(,λ∗j), by the intermediate value
the-orem, there exist two pointsd∈(,r),d∈(r,∞) such thatϕj(d) =ϕj(d) =λj. Thus,
we have
fj(y, . . . ,yn)≤
d
nλjαj
, y+· · ·+yn∈[,d],
fj(y, . . . ,yn)≤
d
nλjαj
, y+· · ·+yn∈[,d].
On the other hand, since (H) and (H) hold, there existe∈(,d),e∈(d,∞) such
that
fj(y, . . . ,yn)
y+· · ·+yn≥
nλjβj
, y+· · ·+yn∈(,e]∪
e,∞
.
Thus
fj(y, . . . ,yn)≥
e
nλjβj
, y+· · ·+yn∈
e,e
,
fj(y, . . . ,yn)≥
e
nλjβj
, y+· · ·+yn∈
e,e
.
Application of Theorem . and Theorem . leads to two distinct positive solutions of FBVP (.)-(.) which satisfy
e≤(y, . . . ,yn)≤d, d≤y, . . . ,yn≤e.
The proof is complete.
By the proof of Theorem ., we obtain the following.
Corollary . If one of conditions(H)and(H)is satisfied,then for every <λj<λ∗j,
FBVP(.)-(.)has at least one positive solution.
Theorem . Suppose that(H), (H)hold.Then,for anyλj≥λ∗∗j ,FBVP(.)-(.)has at
least two positive solutions,where
λ∗∗j = nβj
inf
r>
r min
Proof Define the function
ψj(r) =
r
nβjminr/≤y+···+yn≤rfj(y, . . . ,yn)
, j= , . . . ,n.
We know thatψj: (, +∞)→(, +∞) is a continuous function. Forλj>λ∗∗j , there exists
<e< +∞such that
fj(y, . . . ,yn)≥
e
nλjβj
, y+· · ·+yn∈
e,e
.
By condition (H), there exists <d<esuch that
fj(y, . . . ,yn)≤
d
nλjαj
, y+· · ·+yn∈[,d].
From condition (H), there existse<d< +∞such that
fj(y, . . . ,yn)
y+· · ·+yn≤
nλjαj
, y+· · ·+yn∈[d, +∞).
LetMj=max≤y+···+yn≤dfj(y, . . . ,yn). Choosed>dsuch thatd≥λjMjαj. Then
fj(y, . . . ,yn)≤
d
nλjαj
, y+· · ·+yn∈[,d].
By Theorem . and Theorem ., the proof is complete.
From the proof of Theorem ., we get the following.
Corollary . Suppose that one of conditions(H)and(H)holds.Then,for everyλj>λ∗∗j ,
FBVP(.)-(.)has at least one positive solution.
Theorem . Suppose that one of the following cases is satisfied:
() (H), (H)hold,and <λj<nαjLj;
() (H), (H)hold,and <λj<nα
jlj.
Then FBVP(.)-(.)has at least one positive solution.
Proof () From (H) (namelylim(y+···+yn)→∞
fj(y,...,yn)
y+···+yn =Lj,tj∈[νj– ,νj+b]Nνj–, j= , , . . . ,n), for anyj> , there exists a numberR> , fory+· · ·+yn∈(R, +∞), we have
fj(y, . . . ,yn) < (Lj+j)(y+· · ·+yn).
LetMj=max≤y+···+yn≤Rfj(y, . . . ,yn). ChooseR>max{R,
Mj
Lj+j}, then fj(y, . . . ,yn) < (Lj+j)(y+· · ·+yn)
fory+· · ·+yn∈[,R]. As arbitrarily ofj, sofj(y, . . . ,yn)≤LjR. Note that <λj<nα
jLj, then
λ∗j = nαj
sup
R>
R
max≤y+···+yn≤Rf(y) >
nαj
R LR=
nαjLj
Namely <λj<λ∗j. By means of Corollary ., FBVP (.)-(.) has at least one positive
solution.
The proof is similar to () and hence omitted.
Similarly, we have the following.
Theorem . Suppose that one of the following cases is satisfied:
() (H), (H)hold,and nL
jβj <λj< +∞;
() (H), (H)hold,and nljβj <λj< +∞.
Then FBVP(.)-(.)has at least one positive solution.
Theorem . Suppose that conditions(H)and(H)hold.IfλjsatisfiesnβjLj <λj<
nαjlj or
nβjlj<λj<
nαjLj,then FBVP(.)-(.)has at least one positive solution.
Proof Suppose that nβjLj <λj<
nαjlj holds. Choosej> such that
nβj(Lj–j)≤λj≤
nαj(lj+j). With condition (H), there existsτ> such thatfj(y, . . . ,yn)≤(lj+j)(y+· · ·+yn) for
y+· · ·+yn∈(,τ). Thus, fory+· · ·+yn∈∂ τ, Tj(y, . . . ,yn)
= max
tj∈[νj–,νj+b]Nνj– λj
b+
s=
Gj(tj,s)fj
y(s+ν– ), . . . ,yn(s+νn– )
≤λj(lj+j)(y+· · ·+yn) b+
s=
max
tj∈[νj–,νj+b]Nνj– Gj(tj,s)
=λj(lj+j)(y+· · ·+yn) b+
s=
Gj(νj+b,s)
≤λjαj
τ
nλjαj
=τ n
=
n(y, . . . ,yn),
j= , . . . ,n. That is,
T(y, . . . ,yn)(t, . . . ,tn)
=T(y, . . . ,yn)(t), . . . ,Tn(y, . . . ,yn)(tn)
=T(y, . . . ,yn)+· · ·+Tn(y, . . . ,yn)
≤
n(y, . . . ,yn)+· · ·+
n(y, . . . ,yn) =(y, . . . ,yn)
for (y, . . . ,yn)∈∂ τ.
By condition (H), there existsR> such thatfj(y, . . . ,yn)≥(Lj–j)(y+· · ·+yn) for
LetR=max{τ,R}, for (y, . . . ,yn)∈∂ R, we get
By using Theorem ., we obtain the conclusion. A similar proof holds when
nβjlj <λj<
nαjLj. The proof is complete.
We now present an example illustrating the sorts of boundary conditions that can be treated by Theorem ..
f,f: [, +∞)×[, +∞)→[, +∞), andyis defined on the time scale{–,, . . . , },y
is defined on the time scale{–,, . . . ,}.fandfsatisfy conditions of Theorem ..
A computation shows thatλ∗≈.,λ∗≈., then, for everyλj∈(,λ∗j) (j=
, ), problem (.) has at least two positive solutions.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
SK conceived of the study and participated in its design. HC drafted the manuscript and participated in its design and coordination. JG participated in the sequence correction. All authors read and approved the final manuscript.
Acknowledgements
The authors are very grateful to the reviewers for their valuable suggestions and useful comments, which led to an improvement of this paper. Project was supported by the National Natural Science Foundation of China (Grant No. 11271235) and Shanxi Datong University Institute (2009-Y-15, 2010-B-01, 2013K5) and the Development Foundation of Higher Education Department of Shanxi Province (20101109, 20111020).
Received: 4 November 2014 Accepted: 10 April 2015
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